公开(公告)号：US11087092B2

公开(公告)日：2021-08-10

申请号：US16399871

申请日：2019-04-30

Applicant: salesforce.com, inc.

Inventor： Stephan Zheng ,  Wojciech Kryscinski ,  Michael Shum ,  Richard Socher ,  Caiming Xiong

IPC: G06F40/30 ,  G06N3/08 ,  G06F40/205

Abstract: Approaches for determining a response for an agent in an undirected dialogue are provided. The approaches include a dialogue generating framework comprising an encoder neural network, a decoder neural network, and a language model neural network. The dialogue generating framework generates a sketch sentence response with at least one slot. The sketch sentence response is generated word by word and takes into account the undirected dialogue and agent traits of the agent making the response. The dialogue generating framework generates sentence responses by filling the slot with words from the agent traits. The dialogue generating framework ranks the sentence responses according to perplexity by passing the sentence responses through a language model and selects a final response which is a sentence response that has a lowest perplexity.